About

I am an Assistant Professor of Medicine in the Division of Infectious Diseases at the Johns Hopkins School of Medicine, specializing in computational genetics, molecular epidemiology, and artificial intelligence applications in infectious diseases. My research integrates advanced geometric deep learning techniques, viral phylogenetics, and social and spatial network analyses to elucidate infectious disease transmission dynamics. Currently, I lead research employing graph-based deep learning models to better understand HIV transmission and intervention delivery. I am developing novel bioinformatic tools and pangenome graph approaches to characterize the human plasma virome, and understand its role in disease processes. My lab is also developing AI-driven platforms, including large language models (LLMs) and time-series forecasting systems, for real-time outbreak detection, clinical decision support, drug demand forecasting, and optimized public health interventions.